The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-10-22"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "41695675 (up from 41227176 yesterday: 1.14 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1137193 (up from 1131308 yesterday: 0.52 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 7412966

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.73



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 8407702 71671 0.86 1129911 223032 856 0.39 2.65
India 7761312 54366 0.71 1374786 117306 690 0.59 1.51
Brazil 5323630 24858 0.47 476538 155900 497 0.32 2.93
Russia 1453923 15704 1.09 274289 25072 286 1.15 1.72
Argentina 1053650 16325 1.57 288648 27957 438 1.59 2.65
France 1041991 41622 4.16 425005 34237 162 0.48 3.29
Spain 1026281 20986 2.09 247674 34521 155 0.45 3.36
Colombia 990373 8673 0.88 155034 29637 173 0.59 2.99
Peru 879876 5758 0.66 65047 33984 109 0.32 3.86
Mexico 874171 6612 0.76 125856 87415 0 0.00 10.00
United Kingdom 813451 21257 2.68 350676 44437 189 0.43 5.46
South Africa 710515 2156 0.30 34431 18843 102 0.54 2.65
Iran 550757 5471 1.00 89713 31650 304 0.97 5.75
Chile 497131 1494 0.30 32381 13792 73 0.53 2.77
Italy 465726 16078 3.58 148317 36968 136 0.37 7.94
Iraq 442164 3899 0.89 74690 10465 47 0.45 2.37
Germany 403874 5952 1.50 108335 9960 49 0.49 2.47
Bangladesh 394827 1696 0.43 29840 5747 24 0.42 1.46
Indonesia 377541 4432 1.19 86359 12959 102 0.79 3.43
Philippines 363888 1645 0.45 49809 6783 36 0.53 1.86
Turkey 355528 2102 0.59 35458 9584 71 0.75 2.70
Saudi Arabia 343774 401 0.12 8677 5250 15 0.29 1.53
Ukraine 332262 7320 2.25 113637 6213 120 1.97 1.87
Pakistan 326216 736 0.23 12785 6715 13 0.19 2.06
Israel 308247 912 0.30 54757 2319 28 1.22 0.75
Belgium 270132 16746 6.61 149073 10588 49 0.46 3.92
Netherlands 268517 9310 3.59 139234 6981 47 0.68 2.60
Czechia 223065 14150 6.77 148810 1845 106 6.10 0.83
Poland 214686 12107 5.98 121205 4019 168 4.36 1.87
Canada 211617 2581 1.23 48687 9916 33 0.33 4.69
Romania 196004 4902 2.57 66346 6163 98 1.62 3.14
Morocco 186731 4151 2.27 60687 3132 53 1.72 1.68
Ecuador 156451 826 0.53 17867 12500 47 0.38 7.99
Nepal 148509 3637 2.51 68781 812 21 2.65 0.55
Bolivia 140445 217 0.15 4729 8584 26 0.30 6.11
Qatar 130462 252 0.19 4503 228 3 1.33 0.17
Panama 127227 792 0.63 13885 2612 15 0.58 2.05
Dominican Republic 122873 475 0.39 10145 2212 6 0.27 1.80
United Arab Emirates 120710 1578 1.32 25362 474 2 0.42 0.39
Kuwait 119420 889 0.75 13744 730 9 1.25 0.61
Oman 111837 353 0.32 13252 1147 10 0.88 1.03
Kazakhstan 110086 179 0.16 2042 1796 0 0.00 1.63
Portugal 109541 3270 3.08 33145 2245 16 0.72 2.05
Sweden 108969 1614 1.50 15354 5930 1 0.02 5.44
Egypt 106060 177 0.17 2743 6166 11 0.18 5.81
Guatemala 103172 757 0.74 10763 3580 13 0.36 3.47
Costa Rica 100616 1191 1.20 23788 1251 15 1.21 1.24
Switzerland 97019 5256 5.73 43187 2046 7 0.34 2.11
Japan 95134 619 0.65 10890 1697 11 0.65 1.78
Ethiopia 91693 575 0.63 15595 1396 12 0.87 1.52
Honduras 91509 431 0.47 13911 2604 8 0.31 2.85
China 91073 29 0.03 506 4739 0 0.00 5.20
Belarus 90380 738 0.82 11361 945 4 0.43 1.05
Venezuela 88416 381 0.43 12387 759 6 0.80 0.86
Bahrain 79211 304 0.39 7837 308 0 0.00 0.39
Austria 71844 2435 3.51 26158 941 16 1.73 1.31
Armenia 70836 2306 3.36 19986 1131 10 0.89 1.60
Moldova 69568 777 1.13 15504 1641 11 0.67 2.36
Lebanon 67027 1450 2.21 26145 552 16 2.99 0.82
Uzbekistan 64439 429 0.67 7249 540 6 1.12 0.84
Nigeria 61805 138 0.22 2804 1127 2 0.18 1.82
Singapore 57941 8 0.01 157 28 0 0.00 0.05
Paraguay 57526 707 1.24 15727 1262 12 0.96 2.19
Algeria 55357 276 0.50 3667 1888 8 0.43 3.41
Ireland 54476 1054 1.97 17879 1871 3 0.16 3.43
Kyrgyzstan 54006 547 1.02 7165 1122 4 0.36 2.08
Libya 52620 995 1.93 17412 768 3 0.39 1.46
Hungary 52212 2032 4.05 24903 1305 46 3.65 2.50
West Bank and Gaza 49134 506 1.04 8812 435 8 1.87 0.89
Ghana 47538 77 0.16 882 312 0 0.00 0.66
Azerbaijan 47418 825 1.77 7109 648 6 0.93 1.37
Kenya 47212 1068 2.31 8499 870 12 1.40 1.84
Jordan 46441 2821 6.47 33340 481 38 8.58 1.04
Tunisia 45892 0 0.00 27479 740 0 0.00 1.61
Burma 41008 1312 3.31 26625 1005 33 3.40 2.45
Afghanistan 40626 116 0.29 1341 1505 4 0.27 3.70
Denmark 38270 763 2.03 9388 694 4 0.58 1.81
Serbia 37536 416 1.12 3874 783 3 0.38 2.09
Bosnia and Herzegovina 37314 999 2.75 9565 1051 20 1.94 2.82
Slovakia 35330 1728 5.14 24392 115 17 17.35 0.33
Bulgaria 34930 1595 4.78 14097 1064 16 1.53 3.05
El Salvador 32262 142 0.44 3087 936 3 0.32 2.90
Croatia 29850 1563 5.53 13023 406 13 3.31 1.36
Greece 28216 882 3.23 9330 549 15 2.81 1.95
Australia 27476 18 0.07 367 905 0 0.00 3.29
Korea, South 25698 155 0.61 1746 455 2 0.44 1.77
North Macedonia 25473 637 2.56 7335 874 12 1.39 3.43
Malaysia 23804 847 3.69 12320 204 5 2.51 0.86
Georgia 22803 1595 7.52 16163 178 6 3.49 0.78
Cameroon 21570 0 0.00 732 425 0 0.00 1.97
Cote d’Ivoire 20390 27 0.13 635 121 0 0.00 0.59
Albania 18250 302 1.68 4444 465 3 0.65 2.55
Slovenia 17646 1664 10.41 11781 211 11 5.50 1.20
Kosovo 17263 0 0.00 1600 657 0 0.00 3.81
Norway 17234 270 1.59 3085 279 0 0.00 1.62
Madagascar 16810 0 0.00 356 238 0 0.00 1.42
Montenegro 16259 190 1.18 5272 253 3 1.20 1.56
Zambia 16035 35 0.22 1233 346 0 0.00 2.16
Senegal 15508 24 0.15 489 321 0 0.00 2.07
Finland 14255 184 1.31 4152 355 0 0.00 2.49
Sudan 13724 0 0.00 71 836 0 0.00 6.09
Namibia 12460 54 0.44 1087 133 0 0.00 1.07
Luxembourg 12333 662 5.67 3738 140 2 1.45 1.14
Guinea 11635 36 0.31 983 71 1 1.43 0.61
Mozambique 11559 228 2.01 2671 81 2 2.53 0.70
Maldives 11358 42 0.37 1004 37 0 0.00 0.33
Congo (Kinshasa) 11097 31 0.28 412 304 1 0.33 2.74
Uganda 11041 108 0.99 2754 98 0 0.00 0.89
Tajikistan 10653 40 0.38 842 81 1 1.25 0.76

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 893364 6425 0.72 71159 17256 89 0.52 1.93 22609.81 436.73 1 in 44
Texas 871453 2472 0.28 94717 17659 7 0.04 2.03 30054.37 609.02 1 in 33
Florida 768091 5558 0.73 58947 16267 57 0.35 2.12 35762.19 757.39 1 in 28
New York 490134 1628 0.33 30103 33396 25 0.07 6.81 25195.08 1716.70 1 in 40
Illinois 363740 4941 1.38 65856 9647 42 0.44 2.65 28704.64 761.30 1 in 35
Georgia 345535 1785 0.52 26176 7729 25 0.32 2.24 32544.15 727.95 1 in 31
North Carolina 252992 2400 0.96 40094 4082 50 1.24 1.61 24121.85 389.20 1 in 41
Tennessee 237907 2046 0.87 40475 3011 41 1.38 1.27 34816.47 440.64 1 in 29
Arizona 234906 994 0.42 15694 5859 5 0.09 2.49 30848.23 769.41 1 in 32
New Jersey 224385 1162 0.52 18496 16263 18 0.11 7.25 25262.35 1830.97 1 in 40
Pennsylvania 193401 2068 1.08 28357 8574 28 0.33 4.43 15107.11 669.74 1 in 66
Ohio 190430 2425 1.29 35116 5161 12 0.23 2.71 16291.25 441.52 1 in 61
Wisconsin 186100 3413 1.87 60939 1703 22 1.31 0.92 31962.58 292.49 1 in 31
Louisiana 178171 772 0.44 11587 5799 15 0.26 3.25 38326.28 1247.42 1 in 26
Alabama 177064 1390 0.79 21320 2843 15 0.53 1.61 36112.04 579.83 1 in 28
Michigan 170076 2204 1.31 31064 7464 46 0.62 4.39 17029.98 747.38 1 in 59
Virginia 169566 1306 0.78 21030 3520 9 0.26 2.08 19865.93 412.39 1 in 50
South Carolina 167485 1128 0.68 19162 3755 47 1.27 2.24 32529.48 729.31 1 in 31
Missouri 165210 1935 1.19 38304 2665 15 0.57 1.61 26918.44 434.22 1 in 37
Indiana 155246 2850 1.87 34070 4065 42 1.04 2.62 23060.15 603.81 1 in 43
Massachusetts 147215 1049 0.72 14345 9810 30 0.31 6.66 21183.53 1411.61 1 in 47
Maryland 137979 743 0.54 12469 4070 12 0.30 2.95 22822.74 673.21 1 in 44
Minnesota 128152 1561 1.23 27952 2354 20 0.86 1.84 22723.47 417.40 1 in 44
Mississippi 113081 958 0.85 14195 3231 8 0.25 2.86 37995.75 1085.63 1 in 26
Oklahoma 112483 1628 1.47 24114 1221 11 0.91 1.09 28426.54 308.57 1 in 35
Iowa 111733 1483 1.35 21305 1601 7 0.44 1.43 35413.79 507.44 1 in 28
Arkansas 102798 1202 1.18 17977 1772 21 1.20 1.72 34063.61 587.18 1 in 29
Washington 100525 651 0.65 12409 2289 3 0.13 2.28 13201.10 300.60 1 in 76
Utah 99549 1543 1.57 25499 563 6 1.08 0.57 31051.25 175.61 1 in 32
Nevada 92853 789 0.86 12443 1736 4 0.23 1.87 30145.55 563.61 1 in 33
Kentucky 92299 1303 1.43 22571 1380 17 1.25 1.50 20659.30 308.89 1 in 48
Colorado 90199 1373 1.55 19002 2198 4 0.18 2.44 15662.99 381.68 1 in 64
Kansas 74068 583 0.79 14554 937 23 2.52 1.27 25423.97 321.63 1 in 39
Connecticut 65373 502 0.77 7631 4569 2 0.04 6.99 18335.97 1281.52 1 in 55
Nebraska 61285 977 1.62 15100 587 11 1.91 0.96 31681.53 303.45 1 in 32
Puerto Rico 59037 207 0.35 9970 783 9 1.16 1.33 18485.49 245.17 1 in 54
Idaho 56600 950 1.71 14039 553 7 1.28 0.98 31583.68 308.58 1 in 32
Oregon 40443 0 0.00 6581 635 0 0.00 1.57 9588.79 150.55 1 in 104
New Mexico 39377 662 1.71 9716 953 3 0.32 2.42 18779.31 454.50 1 in 53
South Dakota 36017 973 2.78 12881 347 14 4.20 0.96 40712.86 392.24 1 in 25
North Dakota 35052 887 2.60 12834 431 9 2.13 1.23 45996.26 565.57 1 in 22
Rhode Island 29594 471 1.62 4680 1173 4 0.34 3.96 27935.71 1107.27 1 in 36
Montana 25640 928 3.76 12140 278 3 1.09 1.08 23990.01 260.11 1 in 42
Delaware 23528 153 0.65 2741 670 0 0.00 2.85 24161.91 688.05 1 in 41
West Virginia 21057 322 1.55 5031 420 6 1.45 1.99 11782.47 235.01 1 in 85
District of Columbia 16537 39 0.24 1179 642 0 0.00 3.88 23431.84 909.67 1 in 43
Hawaii 14335 102 0.72 1820 206 3 1.48 1.44 10124.50 145.49 1 in 99
Alaska 11835 233 2.01 3887 68 0 0.00 0.57 16178.09 92.95 1 in 62
Wyoming 10119 271 2.75 4036 68 7 11.48 0.67 17483.96 117.49 1 in 57
New Hampshire 9994 77 0.78 1677 470 1 0.21 4.70 7350.09 345.66 1 in 136
Maine 6063 39 0.65 635 146 0 0.00 2.41 4510.45 108.61 1 in 222
Vermont 1987 16 0.81 232 58 0 0.00 2.92 3184.35 92.95 1 in 314

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 17358770 893364 5.15 2586919 71159 2.75 439326.6
2 Texas 7532717 871453 11.57 1250388 94717 7.58 259785.8
3 Florida 5821939 768091 13.19 496104 58947 11.88 271068.5
4 New York 13332845 490134 3.68 2476314 30103 1.22 685367.8
5 Illinois 7034669 363740 5.17 1341743 65856 4.91 555142.7
6 Georgia 3367534 345535 10.26 413142 26176 6.34 317170.6
7 North Carolina 3727675 252992 6.79 664014 40094 6.04 355420.0
8 Tennessee 3436334 237907 6.92 533602 40475 7.59 502889.9
9 Arizona 1668562 234906 14.08 197194 15694 7.96 219118.2
10 New Jersey 4297612 224385 5.22 683966 18496 2.70 483846.0
11 Pennsylvania 2373439 193401 8.15 323677 28357 8.76 185396.1
12 Ohio 4055125 190430 4.70 814928 35116 4.31 346915.1
13 Wisconsin 1926469 186100 9.66 359625 60939 16.95 330870.0
14 Louisiana 2651160 178171 6.72 316415 11587 3.66 570289.8
15 Alabama 1280695 177064 13.83 141963 21320 15.02 261196.5
16 Michigan 4468863 170076 3.81 785282 31064 3.96 447474.4
17 Virginia 2451698 169566 6.92 377462 21030 5.57 287234.8
18 South Carolina 1649351 167485 10.15 332897 19162 5.76 320342.3
19 Missouri 2346490 165210 7.04 1031072 38304 3.71 382324.7
20 Indiana 2611265 155246 5.95 1223534 34070 2.78 387875.8
21 Massachusetts 5441066 147215 2.71 1315962 14345 1.09 782943.2
22 Maryland 3169302 137979 4.35 1541102 12469 0.81 524225.9
23 Minnesota 2564491 128152 5.00 508603 27952 5.50 454726.7
24 Mississippi 842625 113081 13.42 104896 14195 13.53 283126.0
25 Oklahoma 1491088 112483 7.54 275647 24114 8.75 376825.6
26 Iowa 848270 111733 13.17 77327 21305 27.55 268859.3
27 Arkansas 1255534 102798 8.19 212918 17977 8.44 416039.4
28 Washington 2276453 100525 4.42 408364 12409 3.04 298947.5
29 Utah 1004286 99549 9.91 168068 25499 15.17 313256.1
30 Nevada 774095 92853 12.00 72538 12443 17.15 251316.8
31 Kentucky 1744003 92299 5.29 344241 22571 6.56 390360.5
32 Colorado 1742583 90199 5.18 385424 19002 4.93 302598.2
33 Kansas 605509 74068 12.23 84059 14554 17.31 207842.0
34 Connecticut 2092263 65373 3.12 487883 7631 1.56 586842.8
35 Nebraska 554539 61285 11.05 94997 15100 15.90 286671.2
37 Idaho 360185 56600 15.71 51029 14039 27.51 200988.8
38 Oregon 806001 40443 5.02 114056 6581 5.77 191098.0
39 New Mexico 1078087 39377 3.65 157078 9716 6.19 514151.1
40 South Dakota 238446 36017 15.10 43443 12881 29.65 269534.4
41 North Dakota 760318 35052 4.61 140987 12834 9.10 997711.5
42 Rhode Island 1015720 29594 2.91 229520 4680 2.04 958804.4
43 Montana 452846 25640 5.66 104137 12140 11.66 423704.5
44 Delaware 333059 23528 7.06 44842 2741 6.11 342032.6
45 West Virginia 705151 21057 2.99 138563 5031 3.63 394568.0
46 District of Columbia 479435 16537 3.45 89255 1179 1.32 679327.9
47 Hawaii 487311 14335 2.94 188848 1820 0.96 344177.3
48 Alaska 548709 11835 2.16 86386 3887 4.50 750068.7
49 Wyoming 121941 10119 8.30 20646 4036 19.55 210693.9
50 New Hampshire 561032 9994 1.78 110218 1677 1.52 412611.2
51 Maine 567382 6063 1.07 124991 635 0.51 422092.7
52 Vermont 181677 1987 1.09 17833 232 1.30 291154.2

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1632544 7347 0.45 1445103 88.52 143922 43015 184 0.43 2.63
Andhra Pradesh 800684 3765 0.47 762419 95.22 31721 6544 20 0.31 0.82
Karnataka 793907 5356 0.68 693584 87.36 89483 10821 51 0.47 1.36
Tamil Nadu 703250 3057 0.44 659432 93.77 32960 10858 33 0.30 1.54
Uttar Pradesh 466060 2202 0.47 430962 92.47 28268 6830 40 0.59 1.47
Kerala 377835 8511 2.30 280793 74.32 95658 1282 26 2.07 0.34
Delhi 348404 4086 1.19 316214 90.76 26001 6189 26 0.42 1.78
West Bengal 341426 4143 1.23 298587 87.45 36471 6368 60 0.95 1.87
Odisha 277887 1793 0.65 259418 93.35 17202 1267 18 1.44 0.46
Telangana 229001 0 0.00 207326 90.53 20377 1298 0 0.00 0.57
Bihar 210389 1093 0.52 198437 94.32 10917 1034 8 0.78 0.49
Assam 203709 427 0.21 179843 88.28 22963 900 4 0.45 0.44
Rajasthan 182570 1815 1.00 162981 89.27 17775 1814 14 0.78 0.99
Chhattisgarh 172580 2450 1.44 146222 84.73 24620 1738 58 3.45 1.01
Madhya Pradesh 165294 953 0.58 150678 91.16 11761 2855 13 0.46 1.73
Gujarat 165233 1112 0.68 147672 89.37 13885 3676 6 0.16 2.22
Haryana 155765 1270 0.82 143978 92.43 10082 1705 17 1.01 1.09
Punjab 130157 464 0.36 121735 93.53 4327 4095 23 0.56 3.15
Jharkhand 99045 435 0.44 92128 93.02 6055 862 3 0.35 0.87
Jammu and Kashmir 90752 586 0.65 81486 89.79 7842 1424 12 0.85 1.57
Uttarakhand 59796 288 0.48 53718 89.84 4656 979 11 1.14 1.64
Goa 41813 227 0.55 38421 91.89 2824 568 4 0.71 1.36
Puducherry 33986 154 0.46 29427 86.59 3975 584 2 0.34 1.72
Tripura 30067 145 0.48 27479 91.39 2229 336 5 1.51 1.12
Himachal Pradesh 20040 196 0.99 17113 85.39 2616 280 1 0.36 1.40
Manipur 16777 156 0.94 12562 74.88 4083 132 5 3.94 0.79
Arunachal Pradesh 14145 68 0.48 11613 82.10 2499 33 1 3.12 0.23
Chandigarh 13920 72 0.52 13009 93.46 697 214 2 0.94 1.54
Meghalaya 8801 124 1.43 7092 80.58 1630 79 2 2.60 0.90
Nagaland 8436 140 1.69 6501 77.06 1842 21 0 0.00 0.25
Ladakh 5840 28 0.48 4984 85.34 788 68 0 0.00 1.16
Andaman and Nicobar Islands 4207 23 0.55 3945 93.77 204 58 1 1.75 1.38
Sikkim 3770 93 2.53 3383 89.73 242 63 0 0.00 1.67
Dadra and Nagar Haveli and Daman and Diu 3219 10 0.31 3140 97.55 51 2 0 0.00 0.06
Mizoram 2359 0 0.00 2184 92.58 175 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 2610718 138729 4125 3.06 5.31 1685 156 33518 17152 12.36
Piemonte 906964 49668 1550 3.22 5.48 1226 79 14780 4227 8.51
Emilia-Romagna 1433217 43477 889 2.09 3.03 636 86 11663 4537 10.44
Veneto 2192554 39590 1325 3.46 1.81 500 59 12608 2301 5.81
Campania 814966 32025 1541 5.06 3.93 1037 94 22561 551 1.72
Lazio 1227104 29621 1251 4.41 2.41 1293 131 18531 1070 3.61
Toscana 962277 26611 1145 4.50 2.77 524 82 13261 1229 4.62
Liguria 394365 20581 690 3.47 5.22 540 34 5066 1673 8.13
Sicilia 621996 14586 796 5.77 2.35 588 89 8540 397 2.72
Puglia 507982 12810 485 3.94 2.52 448 50 6279 645 5.04
Marche 292862 10192 321 3.25 3.48 133 19 2624 998 9.79
P.A. Trento 267600 7319 153 2.14 2.74 57 1 969 423 5.78
Abruzzo 256324 7091 306 4.51 2.77 208 16 3376 501 7.07
Friuli Venezia Giulia 492435 7075 220 3.21 1.44 83 14 2225 368 5.20
Sardegna 238628 6886 243 3.66 2.89 264 36 3993 181 2.63
Umbria 266398 5860 407 7.46 2.20 171 22 3270 97 1.66
P.A. Bolzano 211011 5549 247 4.66 2.63 106 8 2318 296 5.33
Calabria 248178 3286 187 6.03 1.32 86 8 1537 105 3.20
Valle d’Aosta 36671 2219 87 4.08 6.05 48 3 905 149 6.71
Basilicata 92593 1481 83 5.94 1.60 48 4 828 42 2.84
Molise 57578 1070 28 2.69 1.86 13 1 450 26 2.43

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 97321 1033 1.07 6094 20 0.33 6.26 11399.01 713.78 1 in 88
Ontario 70270 908 1.31 3124 9 0.29 4.45 4776.43 212.35 1 in 209
Alberta 23829 427 1.82 296 0 0.00 1.24 5399.55 67.07 1 in 185
British Columbia 12057 0 0.00 256 0 0.00 2.12 2359.07 50.09 1 in 424
Manitoba 3773 147 4.05 47 4 9.30 1.25 2738.99 34.12 1 in 365
Saskatchewan 2558 62 2.48 25 0 0.00 0.98 2164.74 21.16 1 in 462
Nova Scotia 1097 0 0.00 65 0 0.00 5.93 1122.30 66.50 1 in 891
New Brunswick 322 3 0.94 4 0 0.00 1.24 412.82 5.13 1 in 2422
Newfoundland and Labrador 288 1 0.35 4 0 0.00 1.39 552.40 7.67 1 in 1810
Prince Edward Island 64 0 0.00 0 0 NaN 0.00 404.66 0.00 1 in 2471
Yukon 17 0 0.00 0 0 NaN 0.00 413.85 0.00 1 in 2416
Northwest Territories 8 0 0.00 0 0 NaN 0.00 178.16 0.00 1 in 5613

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 5280 105 1.99
Guangdong 1895 8 0.42
Henan 1283 22 1.71
Zhejiang 1283 1 0.08
Shanghai 1114 7 0.63
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 938 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shandong 845 7 0.83
Sichuan 733 3 0.41
Jiangsu 670 0 0.00
Chongqing 589 6 1.02
Shaanxi 438 3 0.68
Fujian 427 1 0.23
Hebei 368 6 1.63
Liaoning 280 2 0.71
Inner Mongolia 275 1 0.36
Guangxi 260 2 0.77
Tianjin 256 3 1.17
Yunnan 211 2 0.95
Shanxi 209 0 0.00
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 25695.91 681.64 1 in 39
India 5796.35 87.61 1 in 173
Brazil 25435.40 744.86 1 in 39
Russia 10061.75 173.51 1 in 99
Argentina 23800.54 631.51 1 in 42
France 15554.43 511.08 1 in 64
Spain 21994.88 739.84 1 in 45
Colombia 20182.86 603.97 1 in 50
Peru 27350.82 1056.39 1 in 37
Mexico 6766.03 676.59 1 in 148
United Kingdom 12243.39 668.83 1 in 82
South Africa 12526.71 332.21 1 in 80
Iran 6786.06 389.97 1 in 147
Chile 27541.88 764.10 1 in 36
Italy 7700.50 611.24 1 in 130
Iraq 11553.80 273.45 1 in 87
Germany 4878.29 120.30 1 in 205
Bangladesh NA NA 1 in NA
Indonesia 1430.08 49.09 1 in 699
Philippines 3468.90 64.66 1 in 288

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 294065 6956 2.37
Miami-Dade Florida 180497 3585 1.99
Cook Illinois 170039 5390 3.17
Harris Texas 156742 2750 1.75
Maricopa Arizona 152101 3536 2.32
Dallas Texas 91313 1205 1.32
Broward Florida 82250 1519 1.85
Clark Nevada 76817 1488 1.94
Queens New York 75698 7289 9.63
Kings New York 73935 7376 9.98
Riverside California 65386 1279 1.96
Bexar Texas 64014 1385 2.16
San Bernardino California 61550 1070 1.74
Tarrant Texas 61527 796 1.29
Orange California 57848 1434 2.48
Bronx New York 54706 4983 9.11
San Diego California 53498 866 1.62
Palm Beach Florida 49759 1549 3.11
Nassau New York 48941 2204 4.50
Suffolk New York 48308 2019 4.18
Hillsborough Florida 46300 755 1.63
Orange Florida 44435 532 1.20
Salt Lake Utah 42902 296 0.69
Philadelphia Pennsylvania 41561 1852 4.46
Westchester New York 39789 1460 3.67
Wayne Michigan 39100 3040 7.77
Milwaukee Wisconsin 37082 561 1.51
New York New York 35345 3191 9.03
Shelby Tennessee 34892 558 1.60
El Paso Texas 34760 579 1.67
Hidalgo Texas 34343 1899 5.53
Duval Florida 33676 512 1.52
Kern California 33630 415 1.23
Hennepin Minnesota 33024 980 2.97
Mecklenburg North Carolina 32457 380 1.17
Prince George’s Maryland 31844 852 2.68
Franklin Ohio 31466 640 2.03
Travis Texas 31327 448 1.43
Middlesex Massachusetts 30656 2240 7.31
Fresno California 30328 430 1.42
Davidson Tennessee 30302 330 1.09
Fulton Georgia 30264 613 2.03
Gwinnett Georgia 29959 438 1.46
St. Louis Missouri 28842 865 3.00
Pima Arizona 27208 635 2.33
Suffolk Massachusetts 26954 1166 4.33
Utah Utah 26429 77 0.29
King Washington 25712 798 3.10
Marion Indiana 25151 785 3.12
Sacramento California 24957 480 1.92
Montgomery Maryland 24772 863 3.48
Pinellas Florida 24650 812 3.29
Bergen New Jersey 24172 2056 8.51
Cameron Texas 23906 1072 4.48
Oakland Michigan 23827 1233 5.17
Santa Clara California 23679 385 1.63
Essex New Jersey 23068 2139 9.27
Fairfax Virginia 23015 605 2.63
Alameda California 23001 456 1.98
Jefferson Alabama 22861 374 1.64
Oklahoma Oklahoma 22669 222 0.98
Essex Massachusetts 22596 1333 5.90
Lee Florida 22341 500 2.24
Polk Florida 22256 593 2.66
Hudson New Jersey 22116 1525 6.90
Fairfield Connecticut 22088 1429 6.47
DuPage Illinois 21776 605 2.78
Providence Rhode Island 21543 930 4.32
San Joaquin California 21473 488 2.27
Cobb Georgia 21453 449 2.09
Middlesex New Jersey 21323 1443 6.77
Nueces Texas 21087 438 2.08
Tulsa Oklahoma 21032 195 0.93
Douglas Nebraska 20992 217 1.03
DeKalb Georgia 20583 393 1.91
Jefferson Kentucky 20441 341 1.67
Passaic New Jersey 20211 1260 6.23
Wake North Carolina 20165 268 1.33
Lake Illinois 20042 507 2.53
Baltimore Maryland 19897 658 3.31
Cuyahoga Ohio 19706 682 3.46
Union New Jersey 19161 1367 7.13
Jefferson Louisiana 18491 581 3.14
Polk Iowa 18419 283 1.54
Contra Costa California 18342 240 1.31
Will Illinois 17616 425 2.41
Macomb Michigan 17557 1074 6.12
Rockland New York 17524 683 3.90
Stanislaus California 17455 395 2.26
Tulare California 17365 282 1.62
Fort Bend Texas 17362 303 1.75
Collin Texas 17122 173 1.01
Baltimore City Maryland 17079 498 2.92
Hartford Connecticut 16911 1459 8.63
Richmond New York 16892 1093 6.47
Charleston South Carolina 16859 273 1.62
Richland South Carolina 16851 265 1.57
Greenville South Carolina 16799 334 1.99
Hamilton Ohio 16687 343 2.06
Denver Colorado 16592 444 2.68

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc